nah-sh-rjqfrkqhgu — GTFS Transit Data for Germany

Active
Willkommen-OpenData-OPNV Germany May 21, 2026 — January 1, 2027

About This Feed

The nah-sh-rjqfrkqhgu GTFS feed by Willkommen-OpenData-OPNV provides structured public transit data for Germany, covering 1367 routes and 14814 stops operated by 40 transit agencies. Formatted in the General Transit Feed Specification (GTFS) standard, this dataset is ready for integration with transit apps, routing engines, and urban planning tools.

Valid from May 21, 2026 to January 1, 2027. Suitable for production use in transit applications, GTFS editors, and GTFS-RT integrations.

Data is automatically validated and corrected. View our quality pipeline →

Transit map showing nah-sh-rjqfrkqhgu routes and stops in Germany
Explore 1,367 routes, 14,814 stops, 40 agencies

Browse routes, stops, and agencies from this specific feed. Public pages show merged data from all feeds — sign in to access per-feed breakdowns useful for GTFS integration and debugging.

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Download Data

Enhanced & Validated Recommended

Updated 2026-06-05

Cleaned, corrected, and validated against GTFS specifications. View corrections.

ZIP GTFS Feed — Corrected & Enriched
26.78 MB
Download GTFS
The license for this work is not specified Content Hash: e8f6ba5fcdf4fa123d5a56075fd3379f4e62dbd6
ZIP Validation Report
0.17 MB
Download
0Errors
40,355Warnings
1Info
Top Issues
fast travel between consecutive stops38,928
fast travel between far stops1,105
stop too far from shape206
GeoJSON GeoJSON Data
0.71 MB
Download

Original Source

Obtained 2026-06-04

Unmodified GTFS data from official sources. May contain errors or inconsistencies.

ZIP GTFS Source Data
32.09 MB
Download
The license for this work is not specified Content Hash: bd191edb53f1b58bfa346aad0d029fadaf7b9c1a
ZIP Validation Report
0.18 MB
Download
0Errors
41,496Warnings
2Info
Top Issues
fast travel between consecutive stops38,943
fast travel between far stops1,105
missing bike allowance980

Overlapping Feeds

Feeds that share stops or routes with this dataset.

Feed Stops Overlap Routes Overlap
deutschen-all 777 (5.25%) 1171 (85.66%)
delfi 3299 (22.27%) 1162 (85%)
ulmer-eisenbahnfreunde 3113 (21.01%) 1124 (82.22%)
toplevel-dhid-siflecehpr 4886 (32.98%) 517 (37.82%)
hamburger-verkehrsverbund 101 (0.68%) 351 (25.68%)
hamburger-verkehrsverbund-hvv-deu 103 (0.7%) 321 (23.48%)
bwspnv 7 (0.05%) 50 (3.66%)
deutsche-bahn 33 (0.22%) 4 (0.29%)
flix-bus-eu 1 (0.07%)
vmt 1 (0.07%)
mdv-haltestellen 11 (0.07%)
mdv-mastscharf 11 (0.07%)
geops-chl 5 (0.03%)
odp-swiss 3 (0.02%)
vbb 2 (0.01%)
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Frequently Asked Questions

What is GTFS data?

General Transit Feed Specification (GTFS) is an open data format for public transit schedules and geographic information. Created by Google and TriMet, it defines a common format for transit agencies to publish their data, enabling developers to build interoperable transit applications, trip planners, and mobility analytics tools.

What is the difference between enhanced and source data?

Source data is the original GTFS feed obtained directly from the transit agency or official provider. The enhanced version has been processed by our team to fix common errors, remove inconsistencies, and ensure compliance with GTFS specifications. We recommend using the enhanced version for production applications.

Can I use this data in my application?

Data usage depends on the license specified by the original provider. Check the license information in the download section above. Many GTFS feeds are published under open data licenses that allow free use with attribution. Always verify the license terms before integrating data into your project.

How do I validate a GTFS feed?

Each feed includes a validation report that documents errors and warnings. You can also use tools like the MobilityData GTFS Validator to independently validate the data. Our enhanced feeds have already been processed to resolve the most critical validation issues.

All data on this site is sourced from publicly available sources. If you believe a file has been posted in error or an incorrect license has been attributed, please contact us.